Research on Parenting and Child Development, and Selected Statistical Materials

About Me

• A little bit about my background
• My CV

“Blog-ish” Posts

• posts

Selected Courses

• Data Visualization
• Multilevel and Longitudinal Modeling
• Categorical Data Analysis

Figure 1: Data Visualization

Figure 2: Multilevel Modeling

Figure 3: Categorical Data Analysis

Research on Parenting and Child Development

My interests are in developing more knowledge to reduce violence against children and to improve child and family wellbeing. In this research I try to understand the family and community origins of aggression, antisocial behavior, anxiety and depression. My current research focuses on parenting and child development across cultures and social contexts. I try to understand these issues within the context of current conversations about children’s rights.

• “Global Perspectives on Positive and Negative Parenting: A Bayesian Multilevel Analysis”.
• Data Visualization for “Spanking and young children’s socioemotional development in low- and middle-income countries”. Child Trends News Service has released a well done video summarizing this research.
• Meta-Analysis of Research on Corporal Punishment
• Earlier Research On Corporal Punishment
• Data Visualization of Country Level Bans on Corporal Punishment

Figure 4: Countries in MICS Data

Figure 5: Country Level Bans on Corporal Punishment

Selected Collaborations

• Work with Performance Measurement Initiative at William Davidson Institute

Stata Materials

• Two Page Stata:
  • HTML
  • PDF
  • epub
• “Michigan Graph Scheme” for Stata

Figure 6: Michigan Color Scheme For Stata Graphs

• Data Visualization With Stata
• Miscellaneous Stata Programs

R Materials

• Introduction to R:
  • HTML Web Book
  • PDF
  • epub
• Introduction to ggplot2:
  • HTML Web Book
  • PDF
  • epub
• University of Michigan colors for R Graphs:
  • web page
  • R package

Figure 7: Michigan Color Scheme For R Graphs

• Two Page R:
  • PDF
• Two Page ggplot2:
  • PDF
• Multi-Page dplyr:
  • PDF
  • HTML
• Comparing Program Outcomes with ggplot2
  • HTML
  • PDF
• Working With Data From the World Bank Indicators
  • HTML

Bayesian Statistics

• Thinking Through Bayesian Ideas
• Bayes Theorem Applied To Data Analysis
• Notes on Accepting the Null (\(H_0\)) Hypothesis

Figure 8: Thinking Through Bayesian Ideas

Statistical Tutorials and Visualizations

• t-Test
• Correlation
• Regression
  • Tutorial
  • Demo
• Logistic Regression
• Cohen’s d Calculator

Data Visualization

• How To Choose A Chart
  • How to Choose a Chart: A Visual Guide.
  • How to Choose a Chart: An Intuitive Guide
  • Extended Version
• Data Driven Report Demo
• Variables and Visualization
• Slides for a Lecture on Data Visualization for Political Social Work

Figure 9: How To Choose A Chart

Telling Stories With Data

• Visualizing Disparities in a Continuous Risk Factor [PDF]
• Comparing Program Outcomes With ggplot [PDF]
• Graphing Change Over Time [PDF]

Created By

Andrew Grogan-Kaylor

• Web: https://www.umich.edu/~agrogan
• Email: agrogan@umich.edu
• Deep Blue https://deepblue.lib.umich.edu/browse?type=author&value=Grogan-Kaylor%2C+Andrew
• GitHub: https://agrogan1.github.io/
• ResearchGate: https://www.researchgate.net/profile/Andrew_Grogan-Kaylor
• Google Scholar: https://scholar.google.com/citations?user=iLvsGzgAAAAJ&hl=en
• ORCID https://orcid.org/0000-0003-0065-9991